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Fine-grained federation of geographic information services through metadata aggregation

机译:通过元数据聚合进行细粒度的地理信息服务联合

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Large scale Geographic Information Systems (GIS) require experts from different areas, such as data maintenance and handling, data rendering and displaying, and data processing. However, it is challenging to host data, processing capabilities, and experts in the same geographical location. To enable remote coupling of these data and processing services, interoperable distributed system architectures have been developed. This paper presents a distributed Service Oriented Architecture (SOA) framework for understanding and managing the production of knowledge from distributed observations, simulations, and analyses through integrated data-views. Open GIS standards enable us to develop such a distributed framework by defining the standard common data models and corresponding web service components. The composability nature of these components has inspired us to develop a federated information system framework enabling both application-based hierarchical data definitions and performance enhancing designs.
机译:大型地理信息系统(GIS)需要来自不同领域的专家,例如数据维护和处理,数据呈现和显示以及数据处理。但是,在同一地理位置托管数据,处理能力和专家是一项挑战。为了实现这些数据和处理服务的远程耦合,已经开发了可互操作的分布式系统架构。本文提出了一种面向服务的分布式体系结构(SOA)框架,用于通过集成的数据视图来理解和管理来自分布式观察,模拟和分析的知识生成。开放式GIS标准使我们能够通过定义标准的通用数据模型和相应的Web服务组件来开发这样的分布式框架。这些组件的可组合性促使我们开发了一个联邦信息系统框架,该框架可实现基于应用程序的分层数据定义和性能增强设计。

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